You're still wrong. How does one calculate a rate? The study in question took survey data regarding population collected at discrete time points, then applied a finite difference to estimate the rate of change in population with time. That's not a data point or anything else - it's a reduced variable with implicit assumptions that you either don't understand or would love to sweep under the rug. You keep using this crude estimate as an argument (or, in your mind, an unassailable "data point"):
Point being, it's not a statement of fact. You were railing about everyone trying to base their positions on "evidence" which was not the result of statistically significant regression. Well, you've done the same damn thing. The rates described are simply linear effect estimates based on spotty data - hardly the same thing as immutable fact. You just don't understand what has been done, so you assume that the study's findings are correct when it suits you and infeasible in other cases. That makes you both ignorant and a hypocrite.
Hahaha, nice. So now you're admitting that you didn't even read what you were trying to critique.
In addition, you've returned to your tried and tested method of argument that involves completely inventing positions out of thin air for me to hold. I asked for statistically significant correlation between variables to provide evidence for causation. Not only have I not made a single argument of causation in this thread, but if you had even bothered to read my posts here you would have seen me dismiss the
exact evidence you think I'm using hypocritically due to temporal ordering problems.
Jesus christ man, I'm trying to help you here. You don't read my posts, you don't read the source material. I mean you still think that the 9% and 14% numbers came from some conclusion in the study you've never read.
Your argument is based around that I said 'fact' when I should have said 'data'. In my post it was quite clear that I was referring to data, which requires no correlative support (since it just exists) and a hypothesis which does. (which was the entire point of the discussion to begin with) This might require the use of 'context' that you were recently such a fan of however.
This entire stupid shit show comes from you being so desperate to get someone else that you forgot to turn on your brain. Using a study's own dataset to disprove its claim is not the same thing as blindly accepting another study's data that gives you a desired conclusion. This is not a difficult concept to understand, but it probably comes from the fact that you haven't read a single fucking thing on this subject. This is the last time I'm going to do it.